![]() Even more important, developers and AI engineers can set PyTorch up on the top cloud computing platforms PyTorch on AWS and PyTorch on Azure are both viable, as well as Google Cloud and Alibaba. It focuses on machine learning, arguably the most popular use of AI in this stage of the emerging technology’s growth. PyTorch has all the elements you’d expect from a leading open source AI project. Remember, if you know of additional top open source AI tools that should be on this list, please include them in the comments section below. That is, a new idea from this month’s AI project ends up next year (or even next month) in a high- end AI solution sold by a company. Typically freed from the constraints of a corporate setting (though some are supported by companies), these open source AI projects can dream big – and often deliver ground-breaking machine learning (ML) and AI advances.Īlso important: the advances from these leading open source AI projects fuel the larger AI sector. Because these open source projects are often pursued as passion projects by developers (sometimes in colleges and universities), the advances are creative and particularly forward-looking. Open source artificial intelligence projects don’t always get a lot of publicity, but they play a vital role in the development of artificial intelligence. ![]()
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